activity
20162026
most citedCyCADA: Cycle-Consistent Adversarial Domain Adaptation

630 citations · 1.6k across the 61 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021

Hallucinating Pose-Compatible Scenes

Tim Brooks, Alexei A. Efros

What does human pose tell us about a scene? We propose a task to answer this question: given human pose as input, hallucinate a compatible scene. Subtle cues captured by human pose…

cs.CV2021★ 1 cited

GAN-Supervised Dense Visual Alignment

William Peebles, Jun-Yan Zhu, Richard Zhang +3

We propose GAN-Supervised Learning, a framework for learning discriminative models and their GAN-generated training data jointly end-to-end. We apply our framework to the dense vis…

cs.CV2021

Video Autoencoder: self-supervised disentanglement of static 3D structure and motion

Zihang Lai, Sifei Liu, Alexei A. Efros +1

A video autoencoder is proposed for learning disentan- gled representations of 3D structure and camera pose from videos in a self-supervised manner. Relying on temporal continuity…

cs.CV2021

Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

Xi Shen, Alexei A. Efros, Armand Joulin +1

The goal of this work is to efficiently identify visually similar patterns in images, e.g. identifying an artwork detail copied between an engraving and an oil painting, or recogni…

cs.CV2021★ 15 cited

Few-shot Image Generation via Cross-domain Correspondence

Utkarsh Ojha, Yijun Li, Jingwan Lu +4

Training generative models, such as GANs, on a target domain containing limited examples (e.g., 10) can easily result in overfitting. In this work, we seek to utilize a large sourc…

cs.CV2021

Strumming to the Beat: Audio-Conditioned Contrastive Video Textures

Medhini Narasimhan, Shiry Ginosar, Andrew Owens +2

We introduce a non-parametric approach for infinite video texture synthesis using a representation learned via contrastive learning. We take inspiration from Video Textures, which…